1 research outputs found
Accuracy of a Clinical Applicable Method for Prediction of VO <sub>2</sub>max Using Seismocardiography
Cardiorespiratory fitness measured as 藱VO2max is considered an important variable in the risk prediction of cardiovascular disease and all-cause mortality. Non-exercise 藱VO2max prediction models are applicable, but lack accuracy. Here a model for the prediction of 藱VO2max using seismocardiography (SCG) was investigated. 97 healthy participants (18-65鈥墆rs., 51 females) underwent measurement of SCG at rest in the supine position combined with demographic data to predict 藱VO2max before performing a graded exercise test (GET) on a cycle ergometer for determination of 藱VO2max using pulmonary gas exchange measurements for comparison. Accuracy assessment revealed no significant difference between SCG and GET 藱VO2max (mean卤95% CI; 38.3卤1.6 and 39.3卤1.6鈥塵l路min-1路kg-1, respectively. P=0.075). Further, a Pearson correlation of r=0.73, a standard error of estimate (SEE) of 5.9鈥塵l路min-1路kg-1, and a coefficient of variation (CV) of 8卤1% were found. The SCG 藱VO2max showed higher accuracy, than the non-exercise model based on the FRIENDS study, when this was applied to the present population (bias=-3.7卤1.3鈥塵l路min-1路kg-1, p<0.0001. r=0.70. SEE=7.4鈥塵l路min-1路kg-1, and CV=12卤2%). The SCG 藱VO2max prediction model is an accurate method for the determination of 藱VO2max in a healthy adult population. However, further investigation on the validity and reliability of the SCG 藱VO2max prediction model in different populations is needed for consideration of clinical applicability.</p